AI Accountability
Definition of AI Accountability Hierarchical Category as it relates to Artificial Intelligence, Predictions, AI Ethics
AI Accountability is a field of study and practice that focuses on the ethical implications, responsibilities, and potential outcomes of artificial intelligence. It explores the frameworks and measures needed to ensure AI systems operate transparently, fairly, and reliably, providing explanations for the decisions they make, and being held responsible for their actions. This encompasses the principles of AI ethics, the predictions or forecasts made by these systems, and the broader realm of artificial intelligence technologies.
Child Hierarchical Categories
AI and Human Rights
AI Automation
AI Bias
AI Decision Making
AI Discrimination
AI Fairness
AI Future Trends
AI Governance
AI Guidelines
AI Human Interaction
AI Human Rights
AI Impact
AI Impact on Society
AI Law
AI Misuse
AI Policies
AI Policy
AI Predictive Models
AI Predictive Systems
AI Privacy
AI Regulation
AI Responsibility
AI Risk Management
AI Risks
AI Safety
AI Security
AI Standards
AI Surveillance
AI Sustainability
AI Transparency
AI Trustworthiness
Deep Learning
Future of AI
Machine Learning
Machine Learning Ethics
Predictive Algorithms
Predictive Analytics
Predictive Data Analysis
Predictive Intelligence
Predictive Modeling
Predictive Technology